Triple

T33020646
Position Surface form Disambiguated ID Type / Status
Subject Surxondaryo Region E844900 entity
Predicate crossBorderTradeCenter P90187 FINISHED
Object Termez NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Termez | Statement: [Surxondaryo Region, crossBorderTradeCenter, Termez]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossBorderTradeCenter
Context triple: [Surxondaryo Region, crossBorderTradeCenter, Termez]
  • A. crossBorderTradeHub chosen
    Indicates a location or entity that serves as a central point for facilitating, coordinating, or processing trade activities that occur across national or regional borders.
  • B. crossBorderAgglomerationWith
    Indicates a relationship where economic or spatial clustering of activities spans or connects across a national or regional border between the linked entities.
  • C. crossBorderPartner
    Indicates a partnership relationship between entities that operate across national or jurisdictional borders.
  • D. borderTradeType
    Indicates the specific category or nature of trade that occurs across a border between two regions or countries.
  • E. hasCrossBorderTrade
    Indicates that there is trade or commercial exchange occurring between entities located in different countries or jurisdictions.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f7b2f3a104819098ddd8909eaf596c completed May 3, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69f7b1b8a9fc8190a1279e67a2d12707 completed May 3, 2026, 8:36 p.m.
Created at: May 1, 2026, 1:23 a.m.